IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/16153.html
   My bibliography  Save this paper

Patterns in IMF Growth Forecast Revisions: A Panel Study at Multiple Horizons

Author

Listed:
  • Hadzi-Vaskov, Metodij
  • Ricci, Luca Antonio
  • Werner, Alejandro
  • Zamarripa, Rene

Abstract

This paper investigates the performance of the IMF WEO growth forecast revisions across different horizons and country groups. We find that: (i) growth revisions in horizons closer to the actual are generally larger, more volatile, and more negative; (ii) on average, growth revisions are in the right direction, becoming progressively more responsive to the forecast error gap as horizons get closer to the actual year; (iii) growth revisions in systemic economies are relevant for growth revisions in all country groups; (iv) WEO and Consensus Forecast growth revisions are highly correlated; (v) fall-to-spring WEO revisions are more correlated with Consensus Forecasts revisions compared to spring-to-fall revisions; and (vi) across vintages, revisions for a given time horizon are not autocorrelated; within vintages, revisions tend to be positively correlated, suggesting perception of persistent short-term shocks.

Suggested Citation

  • Hadzi-Vaskov, Metodij & Ricci, Luca Antonio & Werner, Alejandro & Zamarripa, Rene, 2021. "Patterns in IMF Growth Forecast Revisions: A Panel Study at Multiple Horizons," CEPR Discussion Papers 16153, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:16153
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP16153
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    2. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2018. "Diagnostic Expectations and Credit Cycles," Journal of Finance, American Finance Association, vol. 73(1), pages 199-227, February.
    3. Mr. John C Bluedorn & Mr. Daniel Leigh, 2018. "Is the Cycle the Trend? Evidence From the Views of International Forecasters," IMF Working Papers 2018/163, International Monetary Fund.
    4. Mr. Allan Timmermann, 2006. "An Evaluation of the World Economic Outlook Forecasts," IMF Working Papers 2006/059, International Monetary Fund.
    5. Allan Timmermann, 2007. "An Evaluation of the World Economic Outlook Forecasts," IMF Staff Papers, Palgrave Macmillan, vol. 54(1), pages 1-33, May.
    6. Branch, William A., 2007. "Sticky information and model uncertainty in survey data on inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 245-276, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dr. Christian Hepenstrick & Jason Blunier, 2022. "What were they thinking? Estimating the quarterly forecasts underlying annual growth projections," Working Papers 2022-05, Swiss National Bank.
    2. Frank, Luis, 2021. "¿Son sesgadas las proyecciones de WEO? El caso de la proyección de crecimiento de Argentina [Are the WEO forecasts biased? The case of Argentina's growth forecast]," MPRA Paper 114333, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeffrey Schafer, 2022. "Inflation Expectations and Their Formation: Working Paper 2022-03," Working Papers 57398, Congressional Budget Office.
    2. Yan Carrière-Swallow & José Marzluf, 2023. "Macrofinancial Causes of Optimism in Growth Forecasts," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 509-537, June.
    3. Paul Hubert, 2014. "FOMC Forecasts as a Focal Point for Private Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1381-1420, October.
    4. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    5. Carlo A. Favero & Alessandro Melone, 2019. "Asset Pricing vs Asset Expected Returning in Factor Models," Working Papers 651, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. Michael J. Lamla & Lena Draeger & Damjan Pfajfar, 2013. "Are Consumer Expectations Theory-Consistent? The Role of Macroeconomic Determinants and Central Bank Communication," KOF Working papers 13-345, KOF Swiss Economic Institute, ETH Zurich.
    7. Paul Hubert & Becky Maule, 2016. "Policy and Macro Signals as Inputs to Inflation Expectation Formation," SciencePo Working papers Main hal-03459462, HAL.
    8. Jean-Paul L'Huillier & Sanjay R. Singh & Donghoon Yoo, 2021. "Incorporating Diagnostic Expectations into the New Keynesian Framework," Working Papers 339, University of California, Davis, Department of Economics.
    9. A. Melander & G. Sismanidis & D. Grenouilleau, 2007. "The track record of the Commission's forecasts - an update," European Economy - Economic Papers 2008 - 2015 291, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. Bourmpoula, Evangelia. & Wieser, Christina., 2014. "An accuracy assessment of the global employment trends' unemployment rate forecasts," Global Employment Trends Reports 994888903402676, International Labour Office, Economic and Labour Market Analysis Department.
    11. Gáti, Laura, 2023. "Monetary policy & anchored expectations—An endogenous gain learning model," Journal of Monetary Economics, Elsevier, vol. 140(S), pages 37-47.
    12. repec:hal:spmain:info:hdl:2441/6g0gsihsjmn5snc9pb0hlas97 is not listed on IDEAS
    13. Francesco D’Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2023. "IQ, Expectations, and Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2292-2325.
    14. Pablo Pastory y Camarasa & Martien Lamers, 2023. "Do Actions Follow Words? How bank sentiment predicts credit growth," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1073, Ghent University, Faculty of Economics and Business Administration.
    15. Carolin Pflueger & Emil Siriwardane & Adi Sunderam, 2019. "Financial Market Risk Perceptions and the Macroeconomy," NBER Working Papers 26290, National Bureau of Economic Research, Inc.
    16. Mark Egan & Alexander MacKay & Hanbin Yang, 2022. "Recovering Investor Expectations from Demand for Index Funds," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(5), pages 2559-2599.
    17. Paul Hubert & Harun Mirza, 2019. "The role of forward‐ and backward‐looking information for inflation expectations formation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(8), pages 733-748, December.
    18. Jean Paul Rabanal & Aleksei Chernulich & John Horowitz & Olga A. Rud & Manizha Sharifova, 2019. "Market timing under public and private information," Working Papers 151, Peruvian Economic Association.
    19. Hanna Freudenreich & Sindu W. Kebede, 2022. "Experience of shocks, household wealth and expectation formation: Evidence from smallholder farmers in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 756-774, September.
    20. Hagenhoff, Tim & Lustenhouwer, Joep, 2023. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).

    More about this item

    Keywords

    Economic forecasts; Forecast revisions; Growth forecasts; Weo;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cpr:ceprdp:16153. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.